Multi-uav cooperative bridge bottom disease detection and three-dimensional positioning method and system
The bridge underpass defect detection system, which utilizes multi-UAV collaborative technology, solves the problems of positioning blind spots and duplicate defect statistics in environments without GNSS signals, and achieves high-precision three-dimensional positioning and full-coverage detection of bridge defects by employing UWB positioning and multi-view collaborative technology.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XINJIANG UNIVERSITY
- Filing Date
- 2026-04-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing UAV-based bridge underpass detection methods suffer from positioning failures in environments without GNSS signals, visual blind spots, and duplicate statistics of defects, making it difficult to achieve high-precision three-dimensional positioning and all-round coverage.
A multi-UAV collaborative approach is adopted, utilizing UWB local positioning network and time-of-flight algorithm to obtain three-dimensional spatial coordinates. Combined with multi-view collaborative formation flight and YOLOv8 target detection network to identify disease targets, the DeepSORT algorithm is used to perform cross-frame and cross-view data association to generate three-dimensional positioning data of the disease.
It achieves high-precision positioning and all-round coverage in complex bridge under-bridge environments, eliminates visual blind spots, avoids repeated counting of defects, and provides accurate data support for bridge health assessment.
Smart Images
Figure CN122415561A_ABST